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cs.LG2024
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study
Liangliang Zhang, Haoran Bao, Yao Ma
As graph data grows increasingly complicate, training graph neural networks (GNNs) on large-scale datasets presents significant challenges, including computational resource constra…
cs.LG2024★ 1 cited
A Survey on Graph Condensation
Hongjia Xu, Liangliang Zhang, Yao Ma +3
Analytics on large-scale graphs have posed significant challenges to computational efficiency and resource requirements. Recently, Graph condensation (GC) has emerged as a solution…